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Updated: Jun 18, 2025

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部分线性混合测量错误模型中的Kernel混合和Kernel随机受限预测:对COVID-19的应用

Özge Kuran1, Seçil Yalaz1

  • 1Faculty of Science, Department of Statistics, Dicle University, Diyarbakır, Turkey.

Journal of applied statistics
|July 29, 2024
PubMed
概括

这项研究为具有测量错误的复杂数据模型引入了新的统计预测指标. 这些方法为COVID-19数据等现实应用提供了更好的准确性和分析.

关键词:
核心混合预测器内核随机限制预测器多对线性是多对线性的.异常常态的正常性.部分线性混合测量误差模型

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